Dredging projects selection when the random shoaling effect is considered

Dredging is a constant operation to maintain the waterway shipping capacity along the rivers, coastal lines as well as ports and harbors. The goal is to achieve a maximum network capacity to support the regional and national economies within the range of a given budget. Shoaling happens after dredging to partially offset or undermine the dredging benefits. Wisely spending the dredging budget for a network capacity by considering the shoaling effect is the objective of this proposed research. This proposal assumes shoaling at each location/section follows a known probability distribution with a given draft. It will build on earlier models and algorithms developed by the research team to propose optimality based stochastic model and algorithms for this particular problem, which specially considers interdependency of project effects on the network. This project expects to complement other researchers’ earlier work that adopts discrete scenario based optimization method through simulation.

Language

• English

Project

• Status: Completed
• Funding: $105000
• Contract Numbers:

  69A3551747130

• Sponsor Organizations:

  Maritime Transportation Research and Education Center

  University of Arkansas
  Fayetteville, AR  United States  72701

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Texas A&M University, College Station

  Zachry Department of Civil Engineering
  3136 TAMU
  College Station, TX  United States  77843-3136
• Performing Organizations:

  Texas A&M University, College Station

  Zachry Department of Civil Engineering
  3136 TAMU
  College Station, TX  United States  77843-3136
• Principal Investigators:

  Wang, Bruce

• Start Date: 20191001
• Expected Completion Date: 20211231
• Actual Completion Date: 20211231
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Algorithms; Asset management; Dredging; Optimization
• Subject Areas: Maintenance and Preservation; Marine Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01722965
• Record Type: Research project
• Source Agency: Maritime Transportation Research and Education Center
• Contract Numbers: 69A3551747130
• Files: UTC, RIP
• Created Date: Nov 19 2019 7:38PM